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International Journal of Electrical Power & Energy Systems
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A dynamic approach to identification of multiple harmonic sources in power distribution systems

Authors: Ujile, Awajiokiche; Ding, Zhengtao; id_orcid 0000-0003-0690-7853;

A dynamic approach to identification of multiple harmonic sources in power distribution systems

Abstract

This paper provides a novel algorithm for identifying harmonic sources in power distribution systems. This algorithm is developed based on an observer design to carry out harmonic estimation for a combination of suspicious nodes. The estimation error is analysed to determine the existence of harmonic sources in the specified node combinations. This approach is used to determine the source of both single and multiple harmonic sources in distribution systems with time varying load parameters. For systems with a large number of suspicious nodes, the system may be divided into sub-systems and the algorithm is applied to each sub-system to identify the harmonic sources present. Simulations are carried out on a benchmark IEEE distribution test feeder for both single and multiple harmonic sources and a number of scenarios are simulated to verify the accuracy and robustness of the proposed approach. The results show that the node combinations which represent the harmonic sources yield an estimation error which approaches zero asymptotically.

Country
United Kingdom
Related Organizations
Keywords

Harmonics, Observer, Power distribution systems, Harmonics, Power distribution systems, Observer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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